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http://dx.doi.org/10.12985/ksaa.2020.28.4.001

Diagnosis of Low-Level Aviation Turbulence Using the Korea Meteorological Administration Post Processing (KMAPP)  

Seok, Jae-Hyeok (국립기상과학원 미래기반연구부)
Choi, Hee-Wook (국립기상과학원 미래기반연구부)
Kim, Yeon-Hee (국립기상과학원 미래기반연구부)
Lee, Sang-Sam (국립기상과학원 미래기반연구부)
Publication Information
Journal of the Korean Society for Aviation and Aeronautics / v.28, no.4, 2020 , pp. 1-11 More about this Journal
Abstract
In order to diagnose low-level turbulence in Korea, diagnostic indices of low-level turbulence were calculated from Aug 2016 to Jul 2019 using a Korea Meteorological Administration Post Precessing (KMAPP) developed by the National Institute Meteorological Sciences (NIMS), and the indices were evaluated using Aircaft Meteorological Data Relay (AMDAR). In the mean horizontal distribution of diagnostic indices calculated, severe turbulence was simulated along major domestic mountains, including near the Taebaek Mountains, the Sobaek Mountains and Hallasan Mountain on Jeju Island due to geographical factors. Later, detection performance was evaluated by calculating the KMAPP Low-Level Turbulencd index (KLT) on combined index, using AUC value of Individual diagnostic indices as a weight. The result showed that the AUC value of KLT was 0.73, and the detection performance was improved (0.02-0.13) when the index was combined. Also, when looking for the AMDAR data is divided into years, seasons, and altitudes, up to 0.94 AUC values were found in winter (DJF) and the surface (surface-1,000ft). By using high-resolution numerical data reflecting detailed terrain data, local turbulence distribution was well demonstrated and high detection performance was shown at low-level.
Keywords
Korea Meteorological Administration Post Processing(KMAPP); Aircraft Meteorological Data Relay(AMDAR); KMAPP Low-Level Turbulence Index(KLT); Low-Level Turbulence(LLT);
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Times Cited By KSCI : 2  (Citation Analysis)
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